Improved tracking of time-varying encoding properties of visual neurons by extended recursive least-squares

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 13, Issue 2, 2005, Pages 194-200

  Lesica, Nicholas A ^a   Stanley, Garrett B ^a,b,c  

^a HARVARD UNIVERSITY   (United States)

^b Department of Bioengineering ^*

^c HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

Author keywords

Adaptive estimation; Least squares; Receptive field; Recursive

Indexed keywords

EYE MOVEMENTS; LEAST SQUARES APPROXIMATIONS; SENSORY PERCEPTION; STATISTICAL METHODS; TRACKING (POSITION); VISION; VISUAL COMMUNICATION;

ADAPTIVE ESTIMATION; NEURAL ENCODING; SENSORY NEURONS; STATISTICAL DISTRIBUTION;

NEUROLOGY;

ADAPTATION; ARTICLE; CODING; EXPERIMENTATION; EXTENDED RECURSIVE LEAST SQUARES; LEARNING; METHODOLOGY; PERFORMANCE; PRIORITY JOURNAL; REGRESSION ANALYSIS; SENSORY NERVE CELL; SIMULATION; STATISTICAL DISTRIBUTION; STIMULUS RESPONSE; TIME; VISUAL NERVE CELL;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; COMPUTER SIMULATION; FEEDBACK; HUMANS; LEAST-SQUARES ANALYSIS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURONS, AFFERENT; TIME FACTORS; VISUAL FIELDS; VISUAL PERCEPTION;

EID: 22544433191     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2005.848339     Document Type: Article

References (23)

1. P. Z. Marmarelis and V. Z. Marmarelis, Analysis of Physiological Systems. New York: Plenum, 1978.
2. J. Keat, P. Reinagel, R. C. Reid, and M. Meister, "Predicting every spike: A model for the responses of visual neurons," Neuron, vol. 30, pp. 817-830, 2001.
3. F. E. Theunissen, K. Sen, and A. J. Doupe, "Spectral-temporal receptive fields of nonlinear auditory neurons obtained using natural sounds," J. Neurosci., vol. 20, pp. 2315-2331, 2000.
4. J. J. DiCarlo, K. O. Johnson, and S. S. Hsiao, "Structure of receptive fields in area 3b of primary somatosensory cortex in the alert monkey," J. Neurosci., vol. 18, pp. 2626-2645, 1998.
5. R. Shapley and C. Enroth-Cugell, "Visual adaptation and retinal gain controls," Prog. Ret. Res., vol. 3, pp. 263-346, 1984.
6. M. Meister and M. J. Berry, "The neural code of the retina," Neuron, vol. 22, pp. 435-450, 1999.
7. N. Brenner, W. Bialek, and R. de Ruyter van Steveninck, "Adaptive rescaling maximizes information transmission," Neuron, vol. 26, pp. 695-702, 2000.
8. A. L. Fairhall, G. D. Lewen, W. Bialek, and R. R. de Ruyter van Stevenick, "Efficiency and ambiguity in an adaptive neural code," Nature, vol. 412, pp. 787-790, 2001.
9. G. B. Stanley, "Adaptive spatiotemporal receptive field estimation in the visual pathway," Neural Computation, vol. 14, pp. 2925-2946, 2002.
10. D. L. Ringach, M. J. Hawken, and R. Shapley, "Receptive field structure of neurons in monkey visual cortex revealed by stimulation with natural image sequences," J. Vision, vol. 2, pp. 12-24, 2002.
11. I. Lampl, I. Reichova, and D. Ferster, "Synchronous membrane potential fluctuations in neurons of the cat visual cortex," Neuron, vol. 22, pp. 361-374, 1999.
12. P. Dayan and L. F. Abbott, Theoretical Neuroscience. Cambridge, MA: MIT Press, 2001.
13. E. J. Chichilnisky, "A simple white noise analysis of neuronal light responses," Network, vol. 12, pp. 199-213, 2001.
14. N. A. Lesica and G. B. Stanley, "Adaptive interactions in the Visual Pathway," in Soc. Neurosci. Abstr., 2003, Prog. 485.10.
15. S. Haykin, A. H. Seyed, J. R. Zeidler, P. Yee, and P. C. Wei, "Adaptive tracking of linear time-variant systems by extended RLS algorithms," IEEE Trans. Signal Process., vol. 45, no. 5, pp. 1118-1128, May 1997.
16. R. E. Kaiman, "A new approach to linear filtering and prediction problems," Trans. ASME-J. Basic Eng., vol. 82, pp. 35-45, 1960.
17. A. H. Sayed and T. Kailath, "A state-space approach to adaptive RLS filtering," IEEE Signal Process. Mag., vol. 11, no. 3, pp. 18-60, Jul. 1994.
18. B. Willmore and D. Smyth, "Methods for first-order kernel estimation: Simple-cell receptive fields from responses to natural scenes," Network: Comput. Neural Syst., vol. 14, pp. 553-577, 2003.
19. U. T. Eden, L. M. Frank, R. Barbieri, V. Solo, and E. N. Brown, "Dynamic analysis of neural encoding by point process adaptive filtering," Neural Comp., vol. 16, pp. 971-998, 2004.
20. S. A. Baccus and M. Meister, "Fast and slow contrast adaptation in retinal circuitry," Neuron, vol. 36, pp. 909-919, 2002.
21. R. M. Shapley and J. D. Victor, "The effect of contrast on the transfer properties of cat retinal ganglion cells," J. Physiol, vol. 285, pp. 275-298, 1978.
22. J. D. Victor, "The dynamics of the cat retinal x cell centre," J. Physiol., vol. 386, pp. 219-246, 1987.
23. G. B. Stanley, F. F. Li, and Y. Dan, "Reconstruction of natural scenes from ensemble responses in the lateral geniculate nucleus," J. Neurosci., vol. 19, no. 18, pp. 8036-8042, 1999.